| Job Opening For - Data Analyst with Gen AI and Python - Contract - McLean, VA (Hybrid) at Mclean, Virginia, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2059921&uid= From: Premkumar, Teamware Solutions Inc [email protected] Reply to: [email protected] Hello Bench sales, Greetings from Prem - Talent Acquisition Team - Teamware Solutions Inc. Kindly Go through it and Revert back as soon as possible Role : Data Analyst with Gen AI and Python Location : Mclean, VA (Day 1 onsite) Hybrid Job Type : Contract Job Description: Design, build, and deploy generative AI models and applications. Develop and fine-tune NLP and LLM-based models using frameworks like TensorFlow, PyTorch, or Hugging Face. Collaborate with data scientists and engineers to integrate AI solutions into enterprise platforms. Perform data preprocessing, feature engineering, and model evaluation. Research the latest advancements in AI/ML and apply them to real-world problems. Create APIs and services for AI model deployment. Optimize model performance for scalability and efficiency. Preferred Qualifications: Masters degree in Computer Science, AI, Data Science, or related field. Experience with MLOps, CI/CD pipelines, and model monitoring tools. Knowledge of data privacy, security, and compliance in AI applications. Work Model: Hybrid role based in McLean, VA (on-site presence required as per project needs). Thanks & Regards Prem kumar | Executive Talent Acquisition Teamware Solutions INC (214)-239-8033 E : [email protected] | W: https://teamwaresolutions.net/ 8951 Cypress Waters Blvd, Suite #1092, Dallas Texas 75019 https://www.linkedin.com/in/prem-kumar-33205224b/ Keywords: continuous integration continuous deployment artificial intelligence machine learning information technology golang Virginia Job Opening For - Data Analyst with Gen AI and Python - Contract - McLean, VA (Hybrid) [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2059921&uid= |
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| 03:45 AM 08-Jan-25 |